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dsewell-583h0

Video To

by dsewell-583h0 · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ⚠ suspicious
66
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1
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Install in OpenClaw
/install video-to
Description
Skip the learning curve of professional editing software. Describe what you want — convert this video to a vertical format with captions for Instagram Reels...
Usage Guidance
What to consider before installing/using this skill: - Understand data flow: this skill uploads your video files to mega-api-prod.nemovideo.ai for processing. Do not upload sensitive or confidential videos unless you trust the service's policies. - Token handling: the skill needs a NEMO_TOKEN. Prefer using a throwaway/anonymous token (it documents an anonymous-token endpoint) rather than a long-lived personal account token. Confirm whether the skill writes tokens or session IDs to disk (the SKILL.md mentions a config path) and where. - Metadata inconsistency: ask the publisher to clarify the config path usage (~/.config/nemovideo/ appears only in SKILL.md) and provide a homepage/privacy policy and data-retention info. - Filesystem reads: the skill will attempt to detect install paths to set headers; verify you are comfortable with that filesystem access. - If you must proceed: run with a temporary/limited token, avoid uploading private content, and request explicit answers from the author about token/session persistence, logs, retention, and encryption.
Capability Analysis
Type: OpenClaw Skill Name: video-to Version: 1.0.0 The skill bundle provides a legitimate interface for a cloud-based video conversion service (nemovideo.ai). It contains detailed instructions for the AI agent to manage authentication via NEMO_TOKEN or anonymous UUIDs, handle session states, and interact with a rendering pipeline. The logic is entirely focused on video processing tasks, including file uploads and format conversion, with no evidence of data exfiltration, malicious execution, or harmful prompt injection.
Capability Assessment
Purpose & Capability
The requested credential (NEMO_TOKEN) and the described API calls align with a cloud video-conversion service. However, the registry metadata (top-level) reported no required config paths, while the SKILL.md frontmatter includes a config path (~/.config/nemovideo/). This discrepancy is unexplained and reduces confidence in metadata accuracy.
Instruction Scope
Runtime instructions explicitly tell the agent to upload user files, call external endpoints, create an anonymous token via a POST, and save session_id. They also instruct deriving headers from local install paths (checking ~/.clawhub/ and ~/.cursor/skills/), which requires reading the user's filesystem. Uploading user videos to an external service is expected for this skill but is privacy-sensitive; the SKILL.md does not state retention, encryption, or deletion policies for uploaded content.
Install Mechanism
This is an instruction-only skill with no install spec and no bundled code — it does not write new binaries or download archives. That keeps the install risk low.
Credentials
Only one credential is requested: NEMO_TOKEN (declared as primary). That is proportional for a third-party API. Still, the skill suggests generating an anonymous token and making it the NEMO_TOKEN, and the SKILL.md references a config path for nemovideo; it's unclear whether the token/session will be persisted to disk or kept in memory. Absence of other unrelated secrets is good.
Persistence & Privilege
The skill is not always-enabled and does not request broad system privileges. It does instruct the agent to save session_id and to use or set NEMO_TOKEN; where and how those are stored is unspecified. The SKILL.md also indicates inspecting install paths to set a header, which implies reading some user filesystem locations.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install video-to
  3. After installation, invoke the skill by name or use /video-to
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Video To 1.0.0 — AI-powered, cloud-based video file conversion - Instantly convert and export video files to various formats and aspect ratios using plain language prompts. - Upload videos (MP4, MOV, AVI, WebM, up to 500MB) and request edits for social platforms like Instagram Reels. - Automated onboarding connects to the processing API, including free anonymous access (100 credits, 7 days). - Cloud render pipeline applies compression and returns processed video files in 30-90 seconds. - Supports text overlays, audio tracks, previewing timelines, and batch processing. - Clear error handling for issues like file size, format, or credit limits.
Metadata
Slug video-to
Version 1.0.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is Video To?

Skip the learning curve of professional editing software. Describe what you want — convert this video to a vertical format with captions for Instagram Reels... It is an AI Agent Skill for Claude Code / OpenClaw, with 66 downloads so far.

How do I install Video To?

Run "/install video-to" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Video To free?

Yes, Video To is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does Video To support?

Video To is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Video To?

It is built and maintained by dsewell-583h0 (@dsewell-583h0); the current version is v1.0.0.

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